搜索资源列表
dbnn
- 基于神经元算法的图像处理，效果挺不错的，大家可以-neurons algorithm based on the image processing, the effect sounds very good, we can learn
ssr_retinex_grahics
- 中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他 人先后提出了Retinex 不同的变种, 最新的一个版 本是中心/ 环绕Retinex 7 。该方法比较以前的版 本, 运算速度显著提高, 而且物理意义更加清楚。 这种运算与人类视网膜和大脑皮层神经元的神经生 理学函数相关, 其形式类似于自然视觉科学中常用 来模拟单个神经元感受野的高斯差分函数-center / around Retinex algorithm. Since Ret
PWriter2
- 用人工神经元来识别英文字母-artificial neurons to identify English alphabets
HCCR
- 运用仿生模式识别方法构建提取基本笔段的神经元序列覆盖手写体汉字图像, 分析笔段神经元间的拓扑性质, 将手写体汉字图像转化为具有容错表征方式的种汉字笔划类型组成的几何图形模仿人类汉字形码输人法统计具有冗余容错形状的笔划神经元类型、数量、位置、相合和相交点数量, 建立手写体汉字特征知识的数据结构表对一手写体汉字库中手写体汉字识别进行仿真实验。方法具有较强的“ 认知”手写体汉字的能力-Construction of the use of pattern recognition methods of e
Intelligen21337511
- Experimenting with how the simple main loop uses its sensory information (analogous to how neurons are connected) can produce thousands of various behaviors. Documentation Included
GPU-CUDA001
- 文章介绍如何使用CUDA实现神经网络，并把他应用在GPU图像处理单元上。 -An Artificial Neural Network is an information processing method that was inspired by the way biological nervous systems function, such as the brain, to process information. It is composed of a large number of
FCM
- 基于自组织特征映射的矢量量化方法,用自组织映射神经元，图像识别音频识别-Self-organizing feature maps based on vector quantization method, neurons with self-organizing map, image recognition audio recognition
ImageSeg_pcnn
- 实现图像的PCNN分割算法，神经元计算次数自适应选择-The PCNN segmentation algorithm to achieve image, calculate the number of adaptive selection of neurons
NeuralN
- 用Matlab编写的神经元网络程序，可对图像进行分类。程序用到了4种神经元方法，BP效果最好。-Neural network using Matlab program, the image classification. The program used four kinds neurons BP effect.
neuron-perceptron
- 设计单一及多个神经元的感知器、BP神经网络。文件a1.m是一个神经元，a2.m是两个神经元，test36.m是bp神经网络。 -Design of single and multiple neuron perceptron, BP neural network. The file a1.m a neurons a2.m, two neurons the test36.m bp neural networks.
letter-distinguish-based-on-BP-net
- 本设计运用MATLAB工具箱确定隐层神经元的个数和构造BP神经网络，并用两类不同的数据对该神经网络进行训练，然后运用训练后的网络对字符进行识别-The use of design the MATLAB toolbox to determine the the the the number of and tectonic of of the of hidden layer neurons BP neural network, and use two types of different data
shujuchuli
- 模拟单个图像对视觉感受野刺激，响应的提取及特征因子整合，多幅图像整合后的特征神经元刺激响应。源代码值得拥有-Simulate the visual receptive field single image stimulus response characteristic factor extraction and integration of multiple images feature integrated stimuli-responsive neurons. Source code is
shaixuandaima
- 包括视觉感受野神经元响应提取代码，特征因子筛选及分类代码，数据处理代码-Including visual receptive fields of neurons responding to extract the code, feature selection and classification codes factor, data processing code, etc.
Exercise4
- 程序实现设计一单一感知器神经元以及采用神经网络拟合奇异函数。压缩包中还包含相关的参考资料。-Design a program to achieve a single sensor neurons and neural networks fitting singular function. Compressed package also contains the associated reference materials.
pcnn
- 利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示， 已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’， 则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现 Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的
bpshuzi
- 通过Matlab基于BP神经网络实现数字0~9的识别。首先创建50个训练样本供网络学习，根据训练样本的特点确定输入层、输出层神经元个数，并确定隐含层神经元个数，完成对BP神经网络的设计；然后将训练样本输入BP网络中，完成对网络的训练；最后通过20个测试样本测试训练完成的网络性能，并显示识别结果。-Digital recognition based on BP neural network.First according to the characteristics of th
BPshuzishibie
- 基于CNN的神经元经典代码，对学习很有帮助，它主要包括了基于MATLAB神经元处理的一些解释与功能的实现等。-Based on CNN neurons classic code, very helpful, which includes a number of interpretation and implementation of functionality based on MATLAB neural processing and the like.
juanjishenjingyuanjingdianlicheng
- 卷积神经元的经典历程，它其中包括了卷积神经元的运行数据库以及运行的代码，里面带有讲解，对初学者很有帮助。-The classic course of the convolution of neurons, which includes the operation of the and the operation of a convolution of the code, which carries on to explain, very helpful for beginners.
Pulialroximndi
- Pulse coupled neural network (PCNN) has a specific feature that the fire of one neuron ca pture its adjacent neurons to fire due to their spatial proximity and intensity similarity. In this paper, it is indicated that this feature itself is a ver
GABOR
- 二维Gabor基函数能够很好地描述哺乳动物初级视觉系统中一对简单视觉神经元的感受野特性。Gabor滤波器对于图像的亮度和对比度变化以及人脸姿态变化具有较强的健壮性，并且它表达的是对人脸识别最为有用的局部特征，故在计算机视觉及纹理分析中得到广泛的应用。波长（λ）方向（θ）相位偏移（?） 长宽比（γ）带宽（b）(The two-dimensional Gabor based function can well describe the receptive field characteristics